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ai-setup

Configure budget cloud and local AI models with smart routing.

Updated Jun 4, 2026
Search Tags:#ai#offline#openrouter#budget#ollama#model configuration#smart routing
One-click install
npx skills add https://github.com/hemory/amp --skill ai-setup
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-setup
Source: https://github.com/hemory/amp/tree/main/.claude/skills/ai-setup
Command: npx skills add https://github.com/hemory/amp --skill ai-setup

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users configure alternative AI models for Amp, enabling cost savings through budget cloud models and offline functionality with local models.

Core Features & Use Cases

  • Budget Cloud Mode: Utilize cheaper AI models (e.g., Kimi, DeepSeek) for significant cost reduction (80-97%).
  • Offline Mode: Run AI models locally on your machine without an internet connection using Ollama.
  • Smart Routing: Automatically select the best AI model based on task complexity, cost, and availability.
  • Use Case: A frequent traveler can use offline mode on a plane to manage tasks, while someone heavily using Amp can switch to budget cloud models to drastically cut monthly expenses.

Quick Start

Run the ai-setup skill to configure your AI model options for budget cloud and offline use.

Frequently Asked Questions about ai-setup

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I configure alternative AI models to reduce API costs?▼

Configuring alternative AI models reduces costs by routing requests through budget cloud options via OpenRouter, utilizing cheaper models like Kimi and DeepSeek to achieve 80-97% savings on API expenses.

Can I run AI models locally without an internet connection?▼

Running AI models locally without an internet connection is possible by using Ollama to enable offline mode, ensuring uninterrupted AI functionality for task management regardless of network availability.

How does smart routing optimize AI model selection?▼

Smart routing optimizes AI model selection by automatically evaluating task complexity, cost constraints, and model availability to direct requests to the most efficient budget cloud or local model.

Do I need Ollama installed to use offline mode?▼

Ollama is required for offline mode because it provides the local runtime environment needed to execute AI models directly on your machine without relying on an internet connection or cloud infrastructure.

What are the limitations of using local AI models for task management?▼

The primary limitation of using local AI models offline is hardware dependency, as running models through Ollama requires sufficient local compute resources, meaning performance is constrained by your machine's specifications.

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